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Robust optimal aiming strategies in central receiver systems

Author

Listed:
  • Kuhnke, Sascha
  • Richter, Pascal
  • Kepp, Fynn
  • Cumpston, Jeff
  • Koster, Arie M.C.A.
  • Büsing, Christina

Abstract

A central receiver system is a power plant that consists of a receiver mounted atop of a central tower and a field of adjustable mirrors called heliostats. The heliostats concentrate solar radiation onto the receiver where a fluid is heated to produce electricity in a conventional thermodynamic cycle.

Suggested Citation

  • Kuhnke, Sascha & Richter, Pascal & Kepp, Fynn & Cumpston, Jeff & Koster, Arie M.C.A. & Büsing, Christina, 2020. "Robust optimal aiming strategies in central receiver systems," Renewable Energy, Elsevier, vol. 152(C), pages 198-207.
    • Handle: RePEc:eee:renene:v:152:y:2020:i:c:p:198-207
    DOI: 10.1016/j.renene.2019.11.118
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    References listed on IDEAS

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    1. Dimitris Bertsimas & Melvyn Sim, 2004. "The Price of Robustness," Operations Research, INFORMS, vol. 52(1), pages 35-53, February.
    2. Ashley, Thomas & Carrizosa, Emilio & Fernández-Cara, Enrique, 2017. "Optimisation of aiming strategies in Solar Power Tower plants," Energy, Elsevier, vol. 137(C), pages 285-291.
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    Cited by:

    1. Zeng, Zhichen & Ni, Dong & Xiao, Gang, 2022. "Real-time heliostat field aiming strategy optimization based on reinforcement learning," Applied Energy, Elsevier, vol. 307(C).
    2. Ruidi Zhu & Dong Ni, 2023. "A Model Predictive Control Approach for Heliostat Field Power Regulatory Aiming Strategy under Varying Cloud Shadowing Conditions," Energies, MDPI, vol. 16(7), pages 1-19, March.
    3. Lin, Xiaoxia & Zheng, Cangping & Huang, Wenjun & Zhao, Yuhong & Feng, Jieqing, 2025. "A novel heliostat aiming optimization framework via differentiable Monte Carlo ray tracing for solar power tower systems," Applied Energy, Elsevier, vol. 388(C).
    4. Carballo, J.A. & Bonilla, J. & Cruz, N.C. & Fernández-Reche, J. & Álvarez, J.D. & Avila-Marin, A. & Berenguel, M., 2025. "Reinforcement learning for heliostat aiming: Improving the performance of Solar Tower plants," Applied Energy, Elsevier, vol. 377(PB).

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